Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Marketing Scientist (IC2)

Wise
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Founding AI Engineer

Senior Machine Learning Engineer

Senior / Lead Data Scientist - AI Agents - Outside IR35

Senior Machine Learning Engineer

Senior Data Scientist - Financial Services - Outside IR35

Company Description

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about .

Job Description

We are looking for a highly analytical and innovative Senior Marketing Scientist to join our Marketing Science team. Our team focuses on developing and implementing channel agnostic measurement frameworks to assess what drives growth at Wise and what we can do to accelerate this. 

In this high impact role you will contribute to projects that integrate best in class marketing mix models, attribution and incrementality testing to deliver actionable insights that drive marketing effectiveness across all channels.

Here’s how you’ll be contributing:

Enhance and implement measurement frameworks that assess full funnel marketing performance across all channels, to ensure data driven strategies to accelerate growth. Some examples on how you will do this are:

Design, implement and analyse incrementality tests to measure the true impact of marketing activity across the funnel. You’ll help marketing understand the true impact of ATL activities such as TV, OOH/DOOH, and radio as well as direct response activities such as Facebook campaigns.

Collaborate with Data Science providing your input on how to improve our marketing mix models.

Provide recommendations to help marketing teams optimise and maximise their strategies.

Build data models for our measurement infrastructure.

Additionally, you will:

Contribute to OKR definition;

Analyse large datasets, identity patterns and build insights from them;

Create data visualisations to communicate insights to stakeholders, providing actionable recommendations.

In this end to end role, you will work closely with cross-functional teams, including, marketing, data science, analytics, finance and engineering to deliver on your projects. 

This role will give you the opportunity to:

Be part of our mission to make money without borders!

Play a key role in contributing to the growth of the company by enhancing the effectiveness of marketing efforts.

Collaborate with diverse teams such as marketing, analytics, data science, finance and engineering.

Qualifications:

Strong background in statistics and marketing.

Experience in a similar marketing science / data science role.

Experience designing quasi-experiments and implementing causal inference methodologies.

Experience building or working with attribution models and marketing mix models.

Strong analytical and problem-solving skills.

Ability to tell a story with data and provide actionable insights.

Advanced SQL and Python/R skills, and can work with complex data models.

Experience with data visualisation tools (Looker, Superset, etc.).

Work with an extensive dataset of over 16 million customers.

Work with cutting-edge methodologies and a modern data stack including dbt and Looker.

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit .

Keep up to date with life at Wise by following us on and .

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.